This paper describes how to reduce the burden of parallel programming by utilizing relevant parallel programs. Parallel algorithms are divided into four classes and a case base fo...
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
This work presents a generalized theoretical framework that allows incorporation of opponent models into adversary search. We present the M algorithm, a generalization of minimax ...
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Abstract. We presents a compositional Hoare logic for proving semantic security of modes of operation for symmetric key block ciphers. We propose a simple programming language to s...